# Google BigQuery (verified)

Run SQL queries on BigQuery datasets, list tables, and inspect schemas. Manage jobs, export results, and explore data warehouse resources.

## Quick Start

```bash
# Connect this server (installs CLI if needed)
npx -y @smithery/cli@latest mcp add bigquery

# Browse available tools
npx -y @smithery/cli@latest tool list bigquery

# Get full schema for a tool
npx -y @smithery/cli@latest tool get bigquery list_dataset_ids

# Call a tool
npx -y @smithery/cli@latest tool call bigquery list_dataset_ids '{}'
```

## Direct MCP Connection

Endpoint: `https://bigquery.run.tools`

## Tools (5)

- `list_dataset_ids` — List BigQuery dataset IDs in a Google Cloud project.
- `get_dataset_info` — Get metadata information about a BigQuery dataset.
- `list_table_ids` — List table ids in a BigQuery dataset.
- `get_table_info` — Get metadata information about a BigQuery table.
- `execute_sql` — Run a SQL query in the project and return the result.

```bash
# Get full input/output schema for a tool
npx -y @smithery/cli@latest tool get bigquery <tool-name>
```